Particle filtering based single-channel blind separation of co-frequency MPSK signals

In this paper, we rederive a particle filtering based algorithm for single-channel blind separation of co-frequency MPSK signals. A simplified implement approach is then proposed to reduce its complexity using an approximation and a sequential algorithm similar to the one utilized in decoding convol...

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Bibliographic Details
Main Authors: Shilong, T., Chen Shaohe, Zheng Hui, Wan Jian
Format: Conference Proceeding
Language:English
Subjects:
Approximation algorithms
BSS
co-frequency
Computer simulation
Convolutional codes
Decoding
Filtering algorithms
Independent component analysis
particle filtering
Pulse modulation
sequential algorithm
Signal processing
Signal processing algorithms
Single-channel blind separation
Source separation
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Summary:In this paper, we rederive a particle filtering based algorithm for single-channel blind separation of co-frequency MPSK signals. A simplified implement approach is then proposed to reduce its complexity using an approximation and a sequential algorithm similar to the one utilized in decoding convolutional codes. Computer simulations show that the novel algorithm is superior compared to the existing
DOI:10.1109/ISPACS.2007.4445954